uncertainty quantification for numerical computations
Project description
numcertainties
This project aims to unify the use of several error propagation libraries in python:
- https://github.com/HDembinski/jacobi
- https://github.com/lebigot/uncertainties/
- https://github.com/tisimst/mcerp
- (https://github.com/tisimst/soerp)
In future general differentiation routines could be used to get the jacobian similar to the jacobi
package to get uncertainties from there:
- https://pypi.org/project/numdifftools/
- scipy
- (sympy for analytic derivatives i.e. as we store the operations we can do an anlytic derivative?, though eg. exp will be difficult)
TODO:
- p values / confidence
- handle mixed types of uncertainties
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